Boosting Information Extraction through Semantic Technologies: The KIDs use case at CONSOB

In this paper we report on the initial results of a project concerning the integration of Semantic Technologies with Information Extraction (IE) techniques, jointly carried out by Sapienza University of Rome and CONSOB (Commissione Nazionale per la Società e la Borsa), the Italian public authority responsible for regulating the securities market. The main objective of such collaboration is to develop a solution to automate IE from Key Information Documents (KIDs) describing Packaged Retail Investment and Insurance-based Investments Products (PRIIPs). We discuss our approach, which is based on the idea of structuring extracted data in the form of a Knowledge Graph, and reports on two different implementations, aiming at pursuing an efficient, easy-to manage semantic IE approach.